Identifying words for a context

Abstract

For identifying words for a context, a monitor module monitors first communications at a digital processing system and determines usage frequencies of a plurality of words in one or more contexts. An identity module identifies a first word in response to a usage frequency for the first word exceeding a use threshold.

What is claimed is: 
     
       1. An apparatus comprising:
 a memory that stores machine readable code; 
 a processor that executes the machine readable code, the machine readable code comprising: 
 a monitor module that monitors first communications and determines usage frequencies of a plurality of words in one or more contexts, the one or more contexts comprising a target audience, a subject, and a location and wherein a combination of the one or more contexts is independently associated with a sub-dictionary of a plurality of sub-dictionaries; 
 an identity module that identifies a first word in response to a usage frequency for the first word in a first context combination of the one or more contexts exceeding a use threshold and adds the first word to a first sub-dictionary of the plurality of sub-dictionaries with a greatest number context elements matching the first context combination; and 
 a display accessible by the processor. 
 
     
     
       2. The apparatus of  claim 1 , wherein the first communications comprise one or more of email, text messages, telephone conversations, video conversations, and viewed documents, wherein the video conversations are through the display. 
     
     
       3. A method comprising:
 monitoring, by use of a processor, first communications at a digital processing system; 
 determining usage frequencies of a plurality of words in one or more contexts, the one or more contexts comprising a target audience, a subject, and a location and wherein a combination of the one or more contexts is independently associated with a sub-dictionary of a plurality of sub-dictionaries; 
 identifying a first word in response to a usage frequency for the first word in a first context combination of the one or more contexts exceeding a use threshold; and 
 adding the first word to a first sub-dictionary of the plurality of sub-dictionaries with a greatest number context elements matching the first context combination. 
 
     
     
       4. The method of  claim 3 , wherein the first word is added to the first sub-dictionary in response to a confirmation. 
     
     
       5. The method of  claim 3 , the method further comprising determining the one or more contexts. 
     
     
       6. The method of  claim 5 , further comprising:
 identifying a second context for second communications; and 
 using a second sub-dictionary associated with the second context in the second communications. 
 
     
     
       7. The method of  claim 3 , wherein the first communications comprise one or more of email, text messages, telephone conversations, video conversations, and viewed documents. 
     
     
       8. The method of  claim 3 , wherein the plurality of words comprise editing distance modifications of monitored words. 
     
     
       9. A program product comprising a non-transitory computer readable storage medium storing machine readable code executed by a processor to perform the operations of:
 monitoring first communications at a digital processing system; 
 determining usage frequencies of a plurality of words in one or more contexts, the one or more contexts comprising a target audience, a subject, and a location and wherein a combination of the one or more contexts is independently associated with a sub-dictionary of a plurality of sub-dictionaries; 
 identifying a first word in response to a usage frequency for the first word in a first context combination of the one or more contexts exceeding a use threshold; and 
 adding the first word to a first sub-dictionary of the plurality of sub-dictionaries with a greatest number context elements matching the first context combination. 
 
     
     
       10. The program product of  claim 9 , wherein the usage frequencies for the plurality of words are determined for the one or more contexts. 
     
     
       11. The program product of  claim 9 , wherein the first communications comprise one or more of email, text messages, telephone conversations, video conversations, and viewed documents.